Adam M Corrigan, Edward Tunnacliffe ... Jonathan R Chubb
Rather than switching between discrete on and off states, gene transcription exists in a spectrum or continuum of states, with a slowly changing initiation rate modulating the levels of activity.
Over 7,000 novel translated sequences have been identified from human cells, including several hundred in annotated noncoding RNA, pseudogenes and de novo assembled transcripts.
A new computational analysis of decision making in mice shows sex biases in value-updating while exploring unknown options, with male mice tending to explore longer than females due to updating values more slowly.
Annamarie E Bustion, Renuka R Nayak ... Katherine S Pollard
Computational reaction representations and profile hidden Markov model searches of metagenomics databases can be harnessed to accurately predict bacterial species and enzyme sequences responsible for biotransformations in the human gut microbiome.
Samantha S Cohen, Nim Tottenham, Christopher Baldassano
Brain responses to a narrative movie change over the course of childhood and adolescence, shifting from event-boundary responses in the hippocampus to stable and anticipatory event representations in the neocortex.
Alexander Y Katsov, Limor Freifeld ... Thomas R Clandinin
A principled statistical segmentation of fruit fly walking leads to a compact model of immediate actions that can reproduce the unique behavioral sequences of individual flies.
Protein language deep learning models can quickly and accurately translate amino acid sequences into profile hidden Markov models or a structure alphabet, dramatically improving remote homology search sensitivity without compromising space or time efficiency.
TF-DNA binding regulates spatial and temporal gene expression and drives robust pattern formation by modulating transcriptional kinetics via cooperative interactions among weak TF binding sites and tuning bursting rates by reducing the time spent in the ON state.
Integrated experimental-computational approaches were implemented to reveal the dynamic conformational landscape of a biologically relevant protein methyltransferase SETD8 for functional annotation.
